" Ethical AI " implies adopting AI in a manner that is transparent, responsible, and accountable which means it should remain consistent with laws, regulations, norms, customer expectations, and societal values. Ethical AI should be able to safeguard against any bias and discrimination, incorrect judgment, and respect privacy at scale. Let me depict a few Use cases in AI which will make you understand the underlying serious ethical concerns. Healthcare is an area where practitioners have been the early adopters of AI but its patient engagement, care delivery, and population health are prone to issues such as bias, and violations of data privacy. Bias in society is reflected in historical health data and, if not corrected, can cause AI systems to make biased decisions. For e.g., who gets access to healthcare management services on priority, based on the reported racial makeup of study populations and gender split introduces malpractices and is the cause of discrimination.